finite-element-networks VS GAN-RNN_Timeseries-imputation

What are some alternatives?

DataDrivenDynSyst - Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!

DeepLearningExamples - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

Deep_XF - Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

nl2bash - Generating bash command from natural language https://arxiv.org/abs/1802.08979

covid19-severity-prediction - Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

starreduction - A free and open source tool for star removal in astronomy images. A GAN model implemented in tensorflow and trained to remove stars from astronomical images

tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods